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e3a575920c
- Implement ElasticsearchClient with full sync/async operations - Add ElasticsearchConfig with connection and embedding options - Create factory pattern following ChromaDB/Qdrant conventions - Add comprehensive test suite with 26 passing tests (100% coverage) - Support both sync and async Elasticsearch operations - Include proper error handling and edge case coverage - Update type system and factory to support Elasticsearch provider - Follow existing RAG patterns for consistency Resolves #3404 Co-Authored-By: João <joao@crewai.com>
13 lines
372 B
Python
13 lines
372 B
Python
"""Constants for Elasticsearch RAG implementation."""
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from typing import Final
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DEFAULT_HOST: Final[str] = "localhost"
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DEFAULT_PORT: Final[int] = 9200
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DEFAULT_INDEX_SETTINGS: Final[dict] = {
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"number_of_shards": 1,
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"number_of_replicas": 0,
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}
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DEFAULT_EMBEDDING_MODEL: Final[str] = "sentence-transformers/all-MiniLM-L6-v2"
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DEFAULT_VECTOR_DIMENSION: Final[int] = 384
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